Fuzzy modeling and control of a nonlinear magnetic bearing system

Article type: Research Article

Authors: Hong, Sung Kyung | Langari, Reza^;

Affiliations: Department of Mechanical Engineering and Center for Fuzzy Logic, Robotics, and Intelligent Systems Research Texas A&M University, College Station, TX77843-3123, USA

Note: [] Corresponding author. Tel.: +1 409 845 6918; E-mail: [email protected].

Abstract: This paper deals with the control of a levitated object with position dependent nonlinearity. We applied the fuzzy modeling and control to a nonlinear magnetic bearing system to obtain uniform desired performance over the entire clearance. We represented the nonlinear magnetic bearing by the Takagi–Sugeno–Kang (TSK) fuzzy model, where a nonlinear global model is approximated by a set of linear local models. Then a model-based fuzzy controller, the so-called parallel distributed compensation (PDC), is employed. Simulation and experimentation results demonstrate that the controller provides excellent compensation for unstable/nonlinear characteristics of the magnetic bearing system and maximizes the controller's valid region of operation, while guaranteeing pre-specified transient performance.

Journal: Journal of Intelligent and Fuzzy Systems, vol. 7, no. 4, pp. 335-346, 1999